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PSN 2020

Principles of Social Networking: The New Horizon and Emerging Challenges (PSN) 2020

Silchar, India
25 August 2020
The conference ended on 25 August 2020

Important Dates

Abstract Submission Deadline
25th May 2020
Abstract Acceptance Notification
10th June 2020
Final Abstract / Full Paper Deadline
25th August 2020

About PSN 2020

Principles of Social Networking: The New Horizon and Emerging Challenges (PSN 2020) is a edited book (multi-authored book) to be published (Final approval is pending) under IFIP-AICT series. The book aims to cover recent challenges and it’s solutions in social networking.

Topics

Corporate social responsibility, Crowdsourcing, Online social networks, Social networking, Social networks, · social networks and their dynamics, Social network analysis, Engineering and management • social networks • data communication, The role of market and social networks in their exchange. 8. diversity and localization of tastes. local cuisine. taste of place and terroir. 9. plants and memory. social biography of gardens. 10. images of plants in cultural expressions (folklore, The role of market and social networks in their exchange., Cyber warfare cyber defence cyber terrorism cyber security cyber crime cloud security social networking threats big data security psychological warfare digital forensics, Social network  www, Social network, Social network analytics, & bias psychology and brain research virtual communities visualization of information diversity and multiculturalism internationalization public policy student affairs organization, Information diffusion

Call for Papers

Principles of Social Networking: The New Horizon and Emerging Challenges (PSN 2020) is a edited book (multi-authored book) to be published (Final approval is pending) under IFIP-AICT series. The book aims to cover recent challenges and it’s solutions in social networking. With the rapid growth of social networking platforms, the study of social networks is gaining immense interest for both theory and practice within the discipline of Data Science. The analysis of social network is mainly driven by the modeling of social networks as a directed or undirected graph of nodes and edges. Since, today’s social networks are very large, to analyze such large-scale networks modeled as graphs and extract useful information (like communities in the networks, information diffusion, important nodes in the network, etc). Networks involving heterogeneous social media and sources are modeled as complex, multidimensional and multimodal networks. Plethora of information are shared over the social networking platforms which includes textual, image and audio-visual data. Analysis of such large-scale data in social networks falls within the realm of Big Data Analytics. The proposed book will include chapters presenting research advances in social network analysis and the issues emerged with diverse social media data. The book will present the applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks.

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